Difference between revisions of "FRVT Ongoing"
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<blockquote>the FRVT Ongoing challenge data from NIST contains the most image subjects, including the faces of 14,400,000 (Grother, Ngan, and Hanaoka 2018). [[CiteRef::rajiFaceSurveyFacial2021]]</blockquote><blockquote>NIST FRVT dataset is funded by the Department of Homeland Security and contains data sourced from “U.S. Department of State’s Mexican non-immigrant Visa archive”(Phillips et al. 2003). [[CiteRef::rajiFaceSurveyFacial2021]]</blockquote><blockquote>the NIST FRVT dataset is funded by the Department of Homeland Security and contains data sourced from “U.S. Department of State’s Mexican non-immigrant Visa archive”(Phillips et al. 2003). The prioritized and dominant use case for this technology is thus still security, access control, suspect identification, and video surveillance in the context of law enforcement and security (Sharif et al. 2017; Zhao et al. 2003). We can see from the historical context that the government promoted and supported this technology from the start for the purppurpose of enabling criminal investigation and surveillance. [[CiteRef::rajiFaceSurveyFacial2021]]</blockquote> | <blockquote>the FRVT Ongoing challenge data from NIST contains the most image subjects, including the faces of 14,400,000 (Grother, Ngan, and Hanaoka 2018). [[CiteRef::rajiFaceSurveyFacial2021]]</blockquote><blockquote>NIST FRVT dataset is funded by the Department of Homeland Security and contains data sourced from “U.S. Department of State’s Mexican non-immigrant Visa archive”(Phillips et al. 2003). [[CiteRef::rajiFaceSurveyFacial2021]]</blockquote><blockquote>the NIST FRVT dataset is funded by the Department of Homeland Security and contains data sourced from “U.S. Department of State’s Mexican non-immigrant Visa archive”(Phillips et al. 2003). The prioritized and dominant use case for this technology is thus still security, access control, suspect identification, and video surveillance in the context of law enforcement and security (Sharif et al. 2017; Zhao et al. 2003). We can see from the historical context that the government promoted and supported this technology from the start for the purppurpose of enabling criminal investigation and surveillance. [[CiteRef::rajiFaceSurveyFacial2021]]</blockquote> | ||
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Revision as of 17:23, 20 April 2024
Technical information:
| Full name | |
|---|---|
| Country | |
| Contents | Facial Images |
| Images | |
| Individuals | |
| Runs database software | |
| URL"URL" is a type and predefined property provided by Semantic MediaWiki to represent URI/URL values. | |
| Related Technology |
Developers and Users:
| Developed by | National Institute of Justice FBI DHS NIST IARPA |
|---|---|
| Owning institution | |
| Custodian institution |
Description[edit | ]
the FRVT Ongoing challenge data from NIST contains the most image subjects, including the faces of 14,400,000 (Grother, Ngan, and Hanaoka 2018). 1
NIST FRVT dataset is funded by the Department of Homeland Security and contains data sourced from “U.S. Department of State’s Mexican non-immigrant Visa archive”(Phillips et al. 2003). 1
the NIST FRVT dataset is funded by the Department of Homeland Security and contains data sourced from “U.S. Department of State’s Mexican non-immigrant Visa archive”(Phillips et al. 2003). The prioritized and dominant use case for this technology is thus still security, access control, suspect identification, and video surveillance in the context of law enforcement and security (Sharif et al. 2017; Zhao et al. 2003). We can see from the historical context that the government promoted and supported this technology from the start for the purppurpose of enabling criminal investigation and surveillance. 1